Report

Dataset statistics

Number of variables	15
Number of observations	15000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	30
Duplicate rows (%)	0.2%
Total size in memory	1.7 MiB
Average record size in memory	120.0 B

Variable types

Numeric	8
Categorical	7

Alerts

`eco_category` has constant value "uncategorized"	Constant
Dataset has 30 (0.2%) duplicate rows	Duplicates
`url` has a high cardinality: 14926 distinct values	High cardinality
`make` has a high cardinality: 109 distinct values	High cardinality
`model` has a high cardinality: 526 distinct values	High cardinality
`reg_date` has a high cardinality: 3471 distinct values	High cardinality
`manufactured` is highly overall correlated with `no_of_owners` and 1 other fields	High correlation
`power` is highly overall correlated with `engine_cap` and 2 other fields	High correlation
`engine_cap` is highly overall correlated with `power` and 1 other fields	High correlation
`curb_weight` is highly overall correlated with `power` and 2 other fields	High correlation
`no_of_owners` is highly overall correlated with `manufactured` and 1 other fields	High correlation
`mileage` is highly overall correlated with `manufactured` and 2 other fields	High correlation
`price` is highly overall correlated with `power` and 2 other fields	High correlation
`transmission` is highly imbalanced (87.9%)	Imbalance
`url` is uniformly distributed	Uniform

Reproduction

Analysis started	2023-09-02 16:10:11.682381
Analysis finished	2023-09-02 16:10:38.147223
Duration	26.46 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

listing_id
Real number (ℝ)

Distinct	14926
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1011540

Minimum	540570
Maximum	1031324
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	540570
5-th percentile	973097.9
Q1	1004484.2
median	1018245.5
Q3	1025443.8
95-th percentile	1030152.1
Maximum	1031324
Range	490754
Interquartile range (IQR)	20959.5

Descriptive statistics

Standard deviation	22203.124
Coefficient of variation (CV)	0.021949823
Kurtosis	36.791099
Mean	1011540
Median Absolute Deviation (MAD)	8885
Skewness	-4.0095874
Sum	1.51731 × 10¹⁰
Variance	4.9297872 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1014871	3	< 0.1%
1022502	2	< 0.1%
1021103	2	< 0.1%
930900	2	< 0.1%
1003291	2	< 0.1%
1024879	2	< 0.1%
1024194	2	< 0.1%
1021331	2	< 0.1%
1022814	2	< 0.1%
1024684	2	< 0.1%
Other values (14916)	14979	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
540570	1	< 0.1%
691782	1	< 0.1%
708011	1	< 0.1%
733385	1	< 0.1%
743986	1	< 0.1%
749258	1	< 0.1%
756142	1	< 0.1%
759456	1	< 0.1%
767227	1	< 0.1%
773433	1	< 0.1%

Value	Count	Frequency (%)
1031324	1	< 0.1%
1031322	1	< 0.1%
1031319	1	< 0.1%
1031316	1	< 0.1%
1031314	1	< 0.1%
1031312	1	< 0.1%
1031310	1	< 0.1%
1031309	1	< 0.1%
1031305	1	< 0.1%
1031304	1	< 0.1%

url
Categorical

HIGH CARDINALITY UNIFORM

Distinct	14926
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

https://www.sgcarmart.com/listing/1014871	3
https://www.sgcarmart.com/listing/1022502	2
https://www.sgcarmart.com/listing/1021103	2
https://www.sgcarmart.com/listing/930900	2
https://www.sgcarmart.com/listing/1003291	2
Other values (14921)	14989

Length

Max length	41
Median length	41
Mean length	40.8038
Min length	40

Characters and Unicode

Total characters	612057
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14853 ?
Unique (%)	99.0%

Sample

1st row	https://www.sgcarmart.com/listing/1004862
2nd row	https://www.sgcarmart.com/listing/1004953
3rd row	https://www.sgcarmart.com/listing/1031276
4th row	https://www.sgcarmart.com/listing/1024287
5th row	https://www.sgcarmart.com/listing/1023453

Common Values

Value	Count	Frequency (%)
https://www.sgcarmart.com/listing/1014871	3	< 0.1%
https://www.sgcarmart.com/listing/1022502	2	< 0.1%
https://www.sgcarmart.com/listing/1021103	2	< 0.1%
https://www.sgcarmart.com/listing/930900	2	< 0.1%
https://www.sgcarmart.com/listing/1003291	2	< 0.1%
https://www.sgcarmart.com/listing/1024879	2	< 0.1%
https://www.sgcarmart.com/listing/1024194	2	< 0.1%
https://www.sgcarmart.com/listing/1021331	2	< 0.1%
https://www.sgcarmart.com/listing/1022814	2	< 0.1%
https://www.sgcarmart.com/listing/1024684	2	< 0.1%
Other values (14916)	14979	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.sgcarmart.com/listing/1014871	3	< 0.1%
https://www.sgcarmart.com/listing/976473	2	< 0.1%
https://www.sgcarmart.com/listing/1024837	2	< 0.1%
https://www.sgcarmart.com/listing/1004028	2	< 0.1%
https://www.sgcarmart.com/listing/979538	2	< 0.1%
https://www.sgcarmart.com/listing/1022183	2	< 0.1%
https://www.sgcarmart.com/listing/1025482	2	< 0.1%
https://www.sgcarmart.com/listing/1021080	2	< 0.1%
https://www.sgcarmart.com/listing/1002661	2	< 0.1%
https://www.sgcarmart.com/listing/1007612	2	< 0.1%
Other values (14916)	14979	99.9%

Most occurring characters

Value	Count	Frequency (%)
/	60000	9.8%
t	60000	9.8%
s	45000	7.4%
w	45000	7.4%
i	30000	4.9%
.	30000	4.9%
g	30000	4.9%
c	30000	4.9%
a	30000	4.9%
r	30000	4.9%
Other values (17)	222057	36.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	405000	66.2%
Other Punctuation	105000	17.2%
Decimal Number	102057	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	60000	14.8%
s	45000	11.1%
w	45000	11.1%
i	30000	7.4%
g	30000	7.4%
c	30000	7.4%
a	30000	7.4%
r	30000	7.4%
m	30000	7.4%
h	15000	3.7%
Other values (4)	60000	14.8%

Decimal Number

Value	Count	Frequency (%)
1	21203	20.8%
0	20385	20.0%
2	11685	11.4%
9	10324	10.1%
8	7014	6.9%
3	6756	6.6%
7	6467	6.3%
6	6261	6.1%
5	6032	5.9%
4	5930	5.8%

Other Punctuation

Value	Count	Frequency (%)
/	60000	57.1%
.	30000	28.6%
:	15000	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	405000	66.2%
Common	207057	33.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	60000	14.8%
s	45000	11.1%
w	45000	11.1%
i	30000	7.4%
g	30000	7.4%
c	30000	7.4%
a	30000	7.4%
r	30000	7.4%
m	30000	7.4%
h	15000	3.7%
Other values (4)	60000	14.8%

Common

Value	Count	Frequency (%)
/	60000	29.0%
.	30000	14.5%
1	21203	10.2%
0	20385	9.8%
:	15000	7.2%
2	11685	5.6%
9	10324	5.0%
8	7014	3.4%
3	6756	3.3%
7	6467	3.1%
Other values (3)	18223	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	612057	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	60000	9.8%
t	60000	9.8%
s	45000	7.4%
w	45000	7.4%
i	30000	4.9%
.	30000	4.9%
g	30000	4.9%
c	30000	4.9%
a	30000	4.9%
r	30000	4.9%
Other values (17)	222057	36.3%

make
Categorical

Distinct	109
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

mercedes-benz	1776
toyota	1760
honda	1708
bmw	1438
audi	591
Other values (104)	7727

Length

Max length	13
Median length	11
Mean length	6.6737333
Min length	2

Characters and Unicode

Total characters	100106
Distinct characters	45
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	0.1%

Sample

1st row	Lamborghini
2nd row	Mitsubishi
3rd row	toyota
4th row	volkswagen
5th row	bmw

Common Values

Value	Count	Frequency (%)
mercedes-benz	1776	11.8%
toyota	1760	11.7%
honda	1708	11.4%
bmw	1438	9.6%
audi	591	3.9%
volkswagen	499	3.3%
mazda	493	3.3%
hyundai	480	3.2%
nissan	406	2.7%
Mercedes-Benz	394	2.6%
Other values (99)	5455	36.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mercedes-benz	2170	14.3%
toyota	2115	14.0%
honda	2091	13.8%
bmw	1761	11.6%
audi	728	4.8%
volkswagen	620	4.1%
mazda	597	3.9%
hyundai	596	3.9%
nissan	497	3.3%
kia	491	3.2%
Other values (57)	3460	22.9%

Most occurring characters

Value	Count	Frequency (%)
e	11130	11.1%
a	9558	9.5%
o	8500	8.5%
n	7250	7.2%
d	6415	6.4%
s	6083	6.1%
t	4909	4.9%
m	4780	4.8%
i	4662	4.7%
b	4093	4.1%
Other values (35)	32726	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	94649	94.5%
Uppercase Letter	3119	3.1%
Dash Punctuation	2212	2.2%
Space Separator	126	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11130	11.8%
a	9558	10.1%
o	8500	9.0%
n	7250	7.7%
d	6415	6.8%
s	6083	6.4%
t	4909	5.2%
m	4780	5.1%
i	4662	4.9%
b	4093	4.3%
Other values (15)	27269	28.8%

Uppercase Letter

Value	Count	Frequency (%)
B	738	23.7%
M	627	20.1%
H	501	16.1%
T	355	11.4%
V	163	5.2%
A	143	4.6%
S	101	3.2%
K	99	3.2%
N	91	2.9%
L	88	2.8%
Other values (8)	213	6.8%

Dash Punctuation

Value	Count	Frequency (%)
-	2212	100.0%

Space Separator

Value	Count	Frequency (%)
	126	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	97768	97.7%
Common	2338	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11130	11.4%
a	9558	9.8%
o	8500	8.7%
n	7250	7.4%
d	6415	6.6%
s	6083	6.2%
t	4909	5.0%
m	4780	4.9%
i	4662	4.8%
b	4093	4.2%
Other values (33)	30388	31.1%

Common

Value	Count	Frequency (%)
-	2212	94.6%
	126	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100106	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	11130	11.1%
a	9558	9.5%
o	8500	8.5%
n	7250	7.2%
d	6415	6.4%
s	6083	6.1%
t	4909	4.9%
m	4780	4.8%
i	4662	4.7%
b	4093	4.1%
Other values (35)	32726	32.7%

model
Categorical

Distinct	526
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

amg	537
corolla	446
vezel	401
cerato	349
c180	341
Other values (521)	12926

Length

Max length	13
Median length	11
Mean length	4.6754
Min length	1

Characters and Unicode

Total characters	70131
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	112 ?
Unique (%)	0.7%

Sample

1st row	gallardo
2nd row	attrage
3rd row	vios
4th row	golf
5th row	216d

Common Values

Value	Count	Frequency (%)
amg	537	3.6%
corolla	446	3.0%
vezel	401	2.7%
cerato	349	2.3%
c180	341	2.3%
civic	330	2.2%
2	329	2.2%
fit	277	1.8%
3	258	1.7%
jazz	254	1.7%
Other values (516)	11478	76.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
amg	537	3.6%
corolla	446	3.0%
vezel	401	2.7%
cerato	349	2.3%
c180	341	2.3%
civic	330	2.2%
2	329	2.2%
fit	277	1.8%
3	258	1.7%
jazz	254	1.7%
Other values (516)	11478	76.5%

Most occurring characters

Value	Count	Frequency (%)
a	7363	10.5%
e	5776	8.2%
r	4868	6.9%
i	4651	6.6%
c	4231	6.0%
o	3912	5.6%
l	3877	5.5%
t	3701	5.3%
s	3128	4.5%
0	3074	4.4%
Other values (27)	25550	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57866	82.5%
Decimal Number	11896	17.0%
Dash Punctuation	369	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7363	12.7%
e	5776	10.0%
r	4868	8.4%
i	4651	8.0%
c	4231	7.3%
o	3912	6.8%
l	3877	6.7%
t	3701	6.4%
s	3128	5.4%
n	2477	4.3%
Other values (16)	13882	24.0%

Decimal Number

Value	Count	Frequency (%)
0	3074	25.8%
2	1804	15.2%
1	1756	14.8%
3	1430	12.0%
8	1169	9.8%
5	1066	9.0%
4	644	5.4%
6	629	5.3%
7	182	1.5%
9	142	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	369	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	57866	82.5%
Common	12265	17.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	7363	12.7%
e	5776	10.0%
r	4868	8.4%
i	4651	8.0%
c	4231	7.3%
o	3912	6.8%
l	3877	6.7%
t	3701	6.4%
s	3128	5.4%
n	2477	4.3%
Other values (16)	13882	24.0%

Common

Value	Count	Frequency (%)
0	3074	25.1%
2	1804	14.7%
1	1756	14.3%
3	1430	11.7%
8	1169	9.5%
5	1066	8.7%
4	644	5.3%
6	629	5.1%
-	369	3.0%
7	182	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70131	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	7363	10.5%
e	5776	8.2%
r	4868	6.9%
i	4651	6.6%
c	4231	6.0%
o	3912	5.6%
l	3877	5.5%
t	3701	5.3%
s	3128	4.5%
0	3074	4.4%
Other values (27)	25550	36.4%

manufactured
Real number (ℝ)

Distinct	45
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2016.7358

Minimum	1933
Maximum	2121
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1933
5-th percentile	2008
Q1	2012
median	2016
Q3	2018
95-th percentile	2020
Maximum	2121
Range	188
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	14.484561
Coefficient of variation (CV)	0.0071821809
Kurtosis	39.083433
Mean	2016.7358
Median Absolute Deviation (MAD)	2
Skewness	6.0899714
Sum	30251037
Variance	209.80252
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
2016	2194	14.6%
2018	1872	12.5%
2017	1722	11.5%
2019	1536	10.2%
2015	1412	9.4%
2011	941	6.3%
2008	932	6.2%
2009	692	4.6%
2014	672	4.5%
2020	663	4.4%
Other values (35)	2364	15.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1933	1	< 0.1%
1962	1	< 0.1%
1964	1	< 0.1%
1969	1	< 0.1%
1972	1	< 0.1%
1975	1	< 0.1%
1976	1	< 0.1%
1978	2	< 0.1%
1982	1	< 0.1%
2003	3	< 0.1%

Value	Count	Frequency (%)
2121	2	< 0.1%
2120	11	0.1%
2119	37	0.2%
2118	37	0.2%
2117	33	0.2%
2116	45	0.3%
2115	27	0.2%
2114	14	0.1%
2113	8	0.1%
2112	10	0.1%

reg_date
Categorical

Distinct	3471
Distinct (%)	23.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

29-dec-2017	36
28-feb-2017	35
30-nov-2018	33
30-jun-2016	31
29-aug-2017	30
Other values (3466)	14835

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	165000
Distinct characters	30
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	810 ?
Unique (%)	5.4%

Sample

1st row	06-jan-2012
2nd row	31-jul-2017
3rd row	21-nov-2018
4th row	18-nov-2016
5th row	24-nov-2016

Common Values

Value	Count	Frequency (%)
29-dec-2017	36	0.2%
28-feb-2017	35	0.2%
30-nov-2018	33	0.2%
30-jun-2016	31	0.2%
29-aug-2017	30	0.2%
30-nov-2016	28	0.2%
29-jun-2018	28	0.2%
31-may-2016	26	0.2%
31-dec-2018	26	0.2%
28-jun-2018	26	0.2%
Other values (3461)	14701	98.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
29-dec-2017	36	0.2%
28-feb-2017	35	0.2%
30-nov-2018	33	0.2%
30-jun-2016	31	0.2%
29-aug-2017	30	0.2%
30-nov-2016	28	0.2%
29-jun-2018	28	0.2%
31-may-2016	26	0.2%
31-dec-2018	26	0.2%
28-jun-2018	26	0.2%
Other values (3461)	14701	98.0%

Most occurring characters

Value	Count	Frequency (%)
-	30000	18.2%
2	24345	14.8%
0	23241	14.1%
1	19590	11.9%
a	6146	3.7%
8	4174	2.5%
9	4026	2.4%
n	3952	2.4%
u	3923	2.4%
j	3871	2.3%
Other values (20)	41732	25.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	90000	54.5%
Lowercase Letter	45000	27.3%
Dash Punctuation	30000	18.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6146	13.7%
n	3952	8.8%
u	3923	8.7%
j	3871	8.6%
e	3633	8.1%
c	2632	5.8%
o	2617	5.8%
m	2490	5.5%
p	2409	5.4%
r	2360	5.2%
Other values (9)	10967	24.4%

Decimal Number

Value	Count	Frequency (%)
2	24345	27.1%
0	23241	25.8%
1	19590	21.8%
8	4174	4.6%
9	4026	4.5%
7	3716	4.1%
6	3579	4.0%
3	3104	3.4%
5	2506	2.8%
4	1719	1.9%

Dash Punctuation

Value	Count	Frequency (%)
-	30000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	120000	72.7%
Latin	45000	27.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6146	13.7%
n	3952	8.8%
u	3923	8.7%
j	3871	8.6%
e	3633	8.1%
c	2632	5.8%
o	2617	5.8%
m	2490	5.5%
p	2409	5.4%
r	2360	5.2%
Other values (9)	10967	24.4%

Common

Value	Count	Frequency (%)
-	30000	25.0%
2	24345	20.3%
0	23241	19.4%
1	19590	16.3%
8	4174	3.5%
9	4026	3.4%
7	3716	3.1%
6	3579	3.0%
3	3104	2.6%
5	2506	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	165000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	30000	18.2%
2	24345	14.8%
0	23241	14.1%
1	19590	11.9%
a	6146	3.7%
8	4174	2.5%
9	4026	2.4%
n	3952	2.4%
u	3923	2.4%
j	3871	2.3%
Other values (20)	41732	25.3%

type_of_vehicle
Categorical

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

suv	3375
luxury sedan	2817
mid-sized sedan	2298
hatchback	1927
mpv	1732
Other values (8)	2851

Length

Max length	15
Median length	12
Mean length	8.8024
Min length	3

Characters and Unicode

Total characters	132036
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	sports car
2nd row	mid-sized_sedan
3rd row	mid-sized sedan
4th row	hatchback
5th row	mpv

Common Values

Value	Count	Frequency (%)
suv	3375	22.5%
luxury sedan	2817	18.8%
mid-sized sedan	2298	15.3%
hatchback	1927	12.8%
mpv	1732	11.5%
sports car	1715	11.4%
stationwagon	345	2.3%
luxury_sedan	324	2.2%
mid-sized_sedan	254	1.7%
sports_car	206	1.4%
Other values (3)	7	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sedan	5115	23.4%
suv	3375	15.5%
luxury	2817	12.9%
mid-sized	2298	10.5%
hatchback	1927	8.8%
mpv	1732	7.9%
sports	1715	7.9%
car	1715	7.9%
stationwagon	345	1.6%
luxury_sedan	324	1.5%
Other values (5)	467	2.1%

Most occurring characters

Value	Count	Frequency (%)
s	15809	12.0%
a	12159	9.2%
d	10797	8.2%
u	9664	7.3%
e	8245	6.2%
r	6983	5.3%
	6830	5.2%
n	6400	4.8%
c	5775	4.4%
i	5451	4.1%
Other values (17)	43923	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	121868	92.3%
Space Separator	6830	5.2%
Dash Punctuation	2552	1.9%
Connector Punctuation	785	0.6%
Other Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	15809	13.0%
a	12159	10.0%
d	10797	8.9%
u	9664	7.9%
e	8245	6.8%
r	6983	5.7%
n	6400	5.3%
c	5775	4.7%
i	5451	4.5%
v	5108	4.2%
Other values (13)	35477	29.1%

Space Separator

Value	Count	Frequency (%)
	6830	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2552	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	785	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	121868	92.3%
Common	10168	7.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	15809	13.0%
a	12159	10.0%
d	10797	8.9%
u	9664	7.9%
e	8245	6.8%
r	6983	5.7%
n	6400	5.3%
c	5775	4.7%
i	5451	4.5%
v	5108	4.2%
Other values (13)	35477	29.1%

Common

Value	Count	Frequency (%)
	6830	67.2%
-	2552	25.1%
_	785	7.7%
/	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	15809	12.0%
a	12159	9.2%
d	10797	8.2%
u	9664	7.3%
e	8245	6.2%
r	6983	5.3%
	6830	5.2%
n	6400	4.8%
c	5775	4.4%
i	5451	4.1%
Other values (17)	43923	33.3%

eco_category
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

uncategorized	15000

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	195000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	uncategorized
2nd row	uncategorized
3rd row	uncategorized
4th row	uncategorized
5th row	uncategorized

Common Values

Value	Count	Frequency (%)
uncategorized	15000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
uncategorized	15000	100.0%

Most occurring characters

Value	Count	Frequency (%)
e	30000	15.4%
u	15000	7.7%
n	15000	7.7%
c	15000	7.7%
a	15000	7.7%
t	15000	7.7%
g	15000	7.7%
o	15000	7.7%
r	15000	7.7%
i	15000	7.7%
Other values (2)	30000	15.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	195000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	30000	15.4%
u	15000	7.7%
n	15000	7.7%
c	15000	7.7%
a	15000	7.7%
t	15000	7.7%
g	15000	7.7%
o	15000	7.7%
r	15000	7.7%
i	15000	7.7%
Other values (2)	30000	15.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	195000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	30000	15.4%
u	15000	7.7%
n	15000	7.7%
c	15000	7.7%
a	15000	7.7%
t	15000	7.7%
g	15000	7.7%
o	15000	7.7%
r	15000	7.7%
i	15000	7.7%
Other values (2)	30000	15.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	195000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	30000	15.4%
u	15000	7.7%
n	15000	7.7%
c	15000	7.7%
a	15000	7.7%
t	15000	7.7%
g	15000	7.7%
o	15000	7.7%
r	15000	7.7%
i	15000	7.7%
Other values (2)	30000	15.4%

transmission
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

auto	14753
manual	247

Length

Max length	6
Median length	4
Mean length	4.0329333
Min length	4

Characters and Unicode

Total characters	60494
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	auto
2nd row	auto
3rd row	auto
4th row	auto
5th row	auto

Common Values

Value	Count	Frequency (%)
auto	14753	98.4%
manual	247	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
auto	14753	98.4%
manual	247	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	15247	25.2%
u	15000	24.8%
t	14753	24.4%
o	14753	24.4%
m	247	0.4%
n	247	0.4%
l	247	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	60494	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	15247	25.2%
u	15000	24.8%
t	14753	24.4%
o	14753	24.4%
m	247	0.4%
n	247	0.4%
l	247	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60494	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	15247	25.2%
u	15000	24.8%
t	14753	24.4%
o	14753	24.4%
m	247	0.4%
n	247	0.4%
l	247	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60494	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	15247	25.2%
u	15000	24.8%
t	14753	24.4%
o	14753	24.4%
m	247	0.4%
n	247	0.4%
l	247	0.4%

power
Real number (ℝ)

Distinct	258
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	136.0206

Minimum	38
Maximum	735
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	38
5-th percentile	73
Q1	90
median	110
Q3	150
95-th percentile	309
Maximum	735
Range	697
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	76.052745
Coefficient of variation (CV)	0.55912667
Kurtosis	6.0583024
Mean	136.0206
Median Absolute Deviation (MAD)	25
Skewness	2.330448
Sum	2040309
Variance	5784.02
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	911	6.1%
135	679	4.5%
96	604	4.0%
115	584	3.9%
85	543	3.6%
80	493	3.3%
88	443	3.0%
73	428	2.9%
100	422	2.8%
110	402	2.7%
Other values (248)	9491	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
38	1	< 0.1%
40	2	< 0.1%
45	5	< 0.1%
47	20	0.1%
48	3	< 0.1%
50	2	< 0.1%
51	2	< 0.1%
54	3	< 0.1%
55	1	< 0.1%
57	27	0.2%

Value	Count	Frequency (%)
735	1	< 0.1%
552	3	< 0.1%
545	2	< 0.1%
541	4	< 0.1%
533	2	< 0.1%
530	9	0.1%
515	13	0.1%
507	1	< 0.1%
493	9	0.1%
489	1	< 0.1%

engine_cap
Real number (ℝ)

Distinct	228
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1974.1645

Minimum	647
Maximum	6752
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	647
5-th percentile	1199
Q1	1497
median	1598
Q3	1998
95-th percentile	3745
Maximum	6752
Range	6105
Interquartile range (IQR)	501

Descriptive statistics

Standard deviation	827.09375
Coefficient of variation (CV)	0.41895889
Kurtosis	8.2913178
Mean	1974.1645
Median Absolute Deviation (MAD)	266
Skewness	2.5607509
Sum	29612467
Variance	684084.08
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1496	1576	10.5%
1998	1102	7.3%
1591	811	5.4%
1598	759	5.1%
1595	694	4.6%
1991	514	3.4%
1499	462	3.1%
1997	454	3.0%
1984	445	3.0%
1498	326	2.2%
Other values (218)	7857	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
647	1	< 0.1%
658	2	< 0.1%
659	4	< 0.1%
796	1	< 0.1%
988	5	< 0.1%
989	6	< 0.1%
996	10	0.1%
998	47	0.3%
999	184	1.2%
1086	17	0.1%

Value	Count	Frequency (%)
6752	6	< 0.1%
6749	13	0.1%
6592	30	0.2%
6498	18	0.1%
6262	6	< 0.1%
6208	9	0.1%
5999	3	< 0.1%
5998	32	0.2%
5980	3	< 0.1%
5950	12	0.1%

curb_weight
Real number (ℝ)

Distinct	645
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1472.0349

Minimum	2
Maximum	2905
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	2
5-th percentile	1067.95
Q1	1280
median	1430
Q3	1625
95-th percentile	1990
Maximum	2905
Range	2903
Interquartile range (IQR)	345

Descriptive statistics

Standard deviation	284.10088
Coefficient of variation (CV)	0.19299874
Kurtosis	1.2402494
Mean	1472.0349
Median Absolute Deviation (MAD)	180
Skewness	0.83745408
Sum	22080523
Variance	80713.311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1190	378	2.5%
1430	373	2.5%
1425	258	1.7%
1615	243	1.6%
1345	231	1.5%
1480	225	1.5%
1610	208	1.4%
1195	185	1.2%
1310	182	1.2%
1285	180	1.2%
Other values (635)	12537	83.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
780	1	< 0.1%
786	1	< 0.1%
795	1	< 0.1%
800	3	< 0.1%
805	1	< 0.1%
806	1	< 0.1%
830	1	< 0.1%
840	3	< 0.1%
852	4	< 0.1%

Value	Count	Frequency (%)
2905	1	< 0.1%
2815	5	< 0.1%
2760	2	< 0.1%
2745	2	< 0.1%
2730	1	< 0.1%
2685	2	< 0.1%
2635	3	< 0.1%
2625	2	< 0.1%
2600	2	< 0.1%
2590	1	< 0.1%

no_of_owners
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2975.1687

Minimum	1
Maximum	99999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	6
Maximum	99999
Range	99998
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	16985.14
Coefficient of variation (CV)	5.7089671
Kurtosis	28.672888
Mean	2975.1687
Median Absolute Deviation (MAD)	0
Skewness	5.5379658
Sum	44627531
Variance	2.88495 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	7540	50.3%
2	3562	23.7%
3	1702	11.3%
4	917	6.1%
5	459	3.1%
99999	446	3.0%
6	374	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7540	50.3%
2	3562	23.7%
3	1702	11.3%
4	917	6.1%
5	459	3.1%
6	374	2.5%
99999	446	3.0%

Value	Count	Frequency (%)
99999	446	3.0%
6	374	2.5%
5	459	3.1%
4	917	6.1%
3	1702	11.3%
2	3562	23.7%
1	7540	50.3%

mileage
Real number (ℝ)

Distinct	5179
Distinct (%)	34.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	73729.744

Minimum	1
Maximum	386000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1
5-th percentile	7000
Q1	35306.75
median	67897.5
Q3	105000
95-th percentile	160000
Maximum	386000
Range	385999
Interquartile range (IQR)	69693.25

Descriptive statistics

Standard deviation	48326.853
Coefficient of variation (CV)	0.65545939
Kurtosis	0.41689662
Mean	73729.744
Median Absolute Deviation (MAD)	34102.5
Skewness	0.69655955
Sum	1.1059462 × 10⁹
Variance	2.3354847 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80000	151	1.0%
120000	124	0.8%
50000	120	0.8%
60000	114	0.8%
90000	113	0.8%
130000	113	0.8%
110000	103	0.7%
70000	102	0.7%
140000	99	0.7%
65000	96	0.6%
Other values (5169)	13865	92.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
8	3	< 0.1%
9	1	< 0.1%
10	2	< 0.1%
11	10	0.1%
12	1	< 0.1%
14	2	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
18	5	< 0.1%

Value	Count	Frequency (%)
386000	1	< 0.1%
340000	1	< 0.1%
330000	1	< 0.1%
319000	1	< 0.1%
318000	1	< 0.1%
311000	1	< 0.1%
300000	2	< 0.1%
298223	1	< 0.1%
290000	1	< 0.1%
288000	1	< 0.1%

price
Real number (ℝ)

Distinct	2660
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	108264.32

Minimum	1900
Maximum	2388777
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1900
5-th percentile	21552.25
Q1	57800
median	78000
Q3	119900
95-th percentile	274988.6
Maximum	2388777
Range	2386877
Interquartile range (IQR)	62100

Descriptive statistics

Standard deviation	112229.23
Coefficient of variation (CV)	1.0366226
Kurtosis	47.252703
Mean	108264.32
Median Absolute Deviation (MAD)	26200
Skewness	5.3027808
Sum	1.6239647 × 10⁹
Variance	1.2595401 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69800	177	1.2%
65800	147	1.0%
72800	131	0.9%
79800	127	0.8%
58800	127	0.8%
66800	127	0.8%
75800	126	0.8%
76800	123	0.8%
59800	121	0.8%
68800	120	0.8%
Other values (2650)	13674	91.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1900	1	< 0.1%
3500	1	< 0.1%
3999	1	< 0.1%
4800	2	< 0.1%
5000	1	< 0.1%
5300	1	< 0.1%
5500	3	< 0.1%
5800	2	< 0.1%
6000	3	< 0.1%
6300	1	< 0.1%

Value	Count	Frequency (%)
2388777	1	< 0.1%
2000000	1	< 0.1%
1700000	1	< 0.1%
1535555	1	< 0.1%
1480000	1	< 0.1%
1398888	1	< 0.1%
1390900	1	< 0.1%
1380500	1	< 0.1%
1330000	1	< 0.1%
1300000	1	< 0.1%

Auto

Heatmap
Table

	listing_id	manufactured	power	engine_cap	curb_weight	no_of_owners	mileage	price	type_of_vehicle	transmission
listing_id	1.000	-0.028	-0.068	-0.063	-0.058	0.011	0.048	-0.083	0.026	0.018
manufactured	-0.028	1.000	-0.048	-0.186	0.027	-0.616	-0.793	0.464	0.355	0.221
power	-0.068	-0.048	1.000	0.814	0.801	0.105	-0.064	0.668	0.285	0.052
engine_cap	-0.063	-0.186	0.814	1.000	0.779	0.174	0.077	0.490	0.252	0.047
curb_weight	-0.058	0.027	0.801	0.779	1.000	0.012	-0.076	0.632	0.267	0.136
no_of_owners	0.011	-0.616	0.105	0.174	0.012	1.000	0.539	-0.223	0.000	0.000
mileage	0.048	-0.793	-0.064	0.077	-0.076	0.539	1.000	-0.551	0.125	0.175
price	-0.083	0.464	0.668	0.490	0.632	-0.223	-0.551	1.000	0.120	0.000
type_of_vehicle	0.026	0.355	0.285	0.252	0.267	0.000	0.125	0.120	1.000	0.212
transmission	0.018	0.221	0.052	0.047	0.136	0.000	0.175	0.000	0.212	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	listing_id	url	make	model	manufactured	reg_date	type_of_vehicle	eco_category	transmission	power	engine_cap	curb_weight	no_of_owners	mileage	price
0	1004862	https://www.sgcarmart.com/listing/1004862	Lamborghini	gallardo	2011	06-jan-2012	sports car	uncategorized	auto	412	5204	1500	5	49000	362800
1	1004953	https://www.sgcarmart.com/listing/1004953	Mitsubishi	attrage	2016	31-jul-2017	mid-sized_sedan	uncategorized	auto	57	1193	940	2	90000	43800
2	1031276	https://www.sgcarmart.com/listing/1031276	toyota	vios	2018	21-nov-2018	mid-sized sedan	uncategorized	auto	79	1496	1085	1	20270	56666
3	1024287	https://www.sgcarmart.com/listing/1024287	volkswagen	golf	2016	18-nov-2016	hatchback	uncategorized	auto	81	1197	1229	1	60000	54200
4	1023453	https://www.sgcarmart.com/listing/1023453	bmw	216d	2016	24-nov-2016	mpv	uncategorized	auto	85	1496	1480	2	80000	103000
5	1015705	https://www.sgcarmart.com/listing/1015705	mazda	2	2019	31-jan-2020	luxury sedan	uncategorized	auto	121	1998	1515	1	8896	104800
6	1030192	https://www.sgcarmart.com/listing/1030192	toyota	corolla	2016	09-dec-2016	mid-sized sedan	uncategorized	auto	90	1598	1205	1	86026	61800
7	997557	https://www.sgcarmart.com/listing/997557	honda	shuttle	2016	20-apr-2017	stationwagon	uncategorized	auto	97	1496	1130	2	46000	60900
8	1030697	https://www.sgcarmart.com/listing/1030697	Hyundai	elantra	2011	07-oct-2011	mid-sized sedan	uncategorized	auto	95	1591	1267	3	68720	60800
9	1015102	https://www.sgcarmart.com/listing/1015102	honda	jazz	2019	13-may-2019	hatchback	uncategorized	auto	96	1498	1088	1	16700	70000

	listing_id	url	make	model	manufactured	reg_date	type_of_vehicle	eco_category	transmission	power	engine_cap	curb_weight	no_of_owners	mileage	price
14990	1027545	https://www.sgcarmart.com/listing/1027545	mitsubishi	outlander	2116	04-nov-2016	suv	uncategorized	auto	123	2360	1530	2	42000	78500
14991	990149	https://www.sgcarmart.com/listing/990149	mini	cooper	2019	06-jan-2020	sports car	uncategorized	auto	141	1998	1535	2	23000	148000
14992	984126	https://www.sgcarmart.com/listing/984126	mini	cooper	2012	20-sep-2012	sports car	uncategorized	auto	135	1598	1405	6	65663	128000
14993	981118	https://www.sgcarmart.com/listing/981118	Hyundai	avante	2019	19-aug-2019	mid-sized sedan	uncategorized	auto	93	1591	1345	1	40000	72000
14994	1012698	https://www.sgcarmart.com/listing/1012698	toyota	corolla	2016	17-apr-2017	mid-sized sedan	uncategorized	auto	90	1598	1215	1	45000	63800
14995	1014803	https://www.sgcarmart.com/listing/1014803	maserati	granturismo	2009	11-dec-2009	sports car	uncategorized	auto	323	4691	1880	99999	90000	139500
14996	1010282	https://www.sgcarmart.com/listing/1010282	bmw	x3	2017	29-jun-2017	suv	uncategorized	auto	135	1997	1680	1	68000	121800
14997	1006206	https://www.sgcarmart.com/listing/1006206	toyota	harrier	2016	09-feb-2017	suv	uncategorized	auto	111	1986	1610	1	56000	84800
14998	982384	https://www.sgcarmart.com/listing/982384	Lexus	es	2015	30-nov-2015	luxury sedan	uncategorized	auto	135	2494	1615	2	85000	92800
14999	1028062	https://www.sgcarmart.com/listing/1028062	bmw	530i	2017	17-oct-2017	luxury sedan	uncategorized	auto	185	1998	1615	1	78000	147800

Most frequently occurring

	listing_id	url	make	model	manufactured	reg_date	type_of_vehicle	eco_category	transmission	power	engine_cap	curb_weight	no_of_owners	mileage	price	# duplicates
0	894308	https://www.sgcarmart.com/listing/894308	kia	sportage	2017	28-mar-2017	suv	uncategorized	auto	114	1999	1500	1	53708	77800	2
1	954364	https://www.sgcarmart.com/listing/954364	mitsubishi	outlander	2017	18-dec-2017	suv	uncategorized	auto	123	2360	1535	1	57271	78800	2
2	976473	https://www.sgcarmart.com/listing/976473	subaru	forester	2016	28-oct-2016	suv	uncategorized	auto	177	1998	1682	1	93428	74800	2
3	981956	https://www.sgcarmart.com/listing/981956	lexus	rx	2011	28-oct-2011	suv	uncategorized	auto	138	2672	1840	3	118200	89800	2
4	986149	https://www.sgcarmart.com/listing/986149	lexus	is	2019	19-feb-2020	luxury sedan	uncategorized	auto	180	1998	1620	2	10000	149800	2
5	991111	https://www.sgcarmart.com/listing/991111	kia	cerato	2018	31-oct-2018	mid-sized sedan	uncategorized	auto	93	1591	1287	1	30600	75800	2
6	991776	https://www.sgcarmart.com/listing/991776	hyundai	avante	2019	15-aug-2019	mid-sized sedan	uncategorized	auto	93	1591	1345	1	30000	71800	2
7	992077	https://www.sgcarmart.com/listing/992077	Honda	vezel	2018	12-jul-2019	suv	uncategorized	auto	96	1496	1190	1	31075	82800	2
8	995501	https://www.sgcarmart.com/listing/995501	lexus	rx	2019	31-aug-2019	suv	uncategorized	auto	175	1998	1890	1	31000	189800	2
9	995581	https://www.sgcarmart.com/listing/995581	bmw	318i	2018	15-nov-2018	luxury sedan	uncategorized	auto	100	1499	1425	1	70000	119800	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Dash Punctuation

Connector Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII